Rise of Enterprise AI Computing Infrastructure: 1.5-Year ROI, Hardware Configuration Becomes Critical - Kingston Launches Full-Stack Solution
As AI becomes an essential tool for enterprises, building dedicated computing infrastructure has become a trend. More and more companies are choosing to build their own local AI workstations instead of relying on cloud-based APIs, mainly due to considerations of data security, cost control, and business stability. The initial investment in self-built hardware can typically be recouped within 1.5 to 2.5 years, showing significant economic advantages. Enterprises need to match different scales of computing solutions based on the complexity of their tasks.
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